Sampling in Pharmacy Research
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Questions and Answers

What impact does a smaller margin of error have on sample size requirements?

  • It has no effect on sample size.
  • It increases the required sample size. (correct)
  • It decreases the required sample size.
  • It makes sample size irrelevant.
  • Which sampling method is used when selecting patients by age groups and randomly choosing from each group?

  • Convenience sampling
  • Systematic sampling
  • Stratified sampling (correct)
  • Cluster sampling
  • What does the Z-score represent in the sample size calculation formula?

  • The margin of error
  • The sample mean
  • The estimated proportion
  • The level of confidence (correct)
  • What is the effect of increased variability in a population on sample size?

    <p>It requires a larger sample size.</p> Signup and view all the answers

    In a study where only patients using similar medications for more than six months are selected, what sampling method is being used?

    <p>Purposive sampling</p> Signup and view all the answers

    What is the primary purpose of using sampling in research?

    <p>To save time and resources.</p> Signup and view all the answers

    What does a sample represent in the context of sampling?

    <p>A portion that reflects the characteristics of a larger population.</p> Signup and view all the answers

    Which of the following best describes sample bias?

    <p>The systematic overrepresentation or underrepresentation of a population in the sample.</p> Signup and view all the answers

    When is it appropriate to sample the entire population?

    <p>When there are extensive resources available.</p> Signup and view all the answers

    Which sampling method is characterized by choosing participants based on specific characteristics?

    <p>Non-Probability sampling.</p> Signup and view all the answers

    What is the basic unit of a population in sampling?

    <p>The element.</p> Signup and view all the answers

    What can result from using faulty sampling methods?

    <p>Faulty conclusions.</p> Signup and view all the answers

    Why might researchers opt for non-probability sampling?

    <p>When aiming for a specific characteristic within the sample.</p> Signup and view all the answers

    What is the first step in the sampling process?

    <p>Identify the target population</p> Signup and view all the answers

    Which type of sampling allows for potential bias and is less representative?

    <p>Non-Probability Sampling</p> Signup and view all the answers

    What sampling method involves choosing individuals who are easiest to access?

    <p>Convenience Sampling</p> Signup and view all the answers

    Which sampling method is best used for reaching hard-to-reach populations?

    <p>Snowball Sampling</p> Signup and view all the answers

    What characteristic distinguishes probability sampling from non-probability sampling?

    <p>All members of the population have an equal chance of selection.</p> Signup and view all the answers

    What is a key feature of quota sampling?

    <p>It selects based on predefined characteristics of the population.</p> Signup and view all the answers

    Which type of sampling is commonly used but less preferred due to potential bias?

    <p>Convenience Sampling</p> Signup and view all the answers

    What is a disadvantage of non-probability sampling methods?

    <p>They are based on personal judgment or convenience.</p> Signup and view all the answers

    What is the main characteristic of simple random sampling?

    <p>Each member has an equal chance of being selected.</p> Signup and view all the answers

    What is the purpose of stratified sampling?

    <p>To ensure equal representation from different subgroups.</p> Signup and view all the answers

    What is an example of systematic sampling?

    <p>Choosing every 5th participant from a list.</p> Signup and view all the answers

    What does sampling error refer to?

    <p>The variability among different samples from the same population.</p> Signup and view all the answers

    Why is sample size important in research studies?

    <p>Sample size affects the reliability and power of the study.</p> Signup and view all the answers

    How does larger sample size influence confidence intervals?

    <p>It results in narrower confidence intervals.</p> Signup and view all the answers

    What effect does population heterogeneity have on sampling error?

    <p>It can lead to greater sampling errors.</p> Signup and view all the answers

    Which sampling method involves random selections from subgroups?

    <p>Stratified sampling</p> Signup and view all the answers

    Study Notes

    Introduction to Sampling in Pharmacy Research

    • A sample is a smaller group that represents the characteristics of a larger population.
    • Samples are used in research because studying the entire population may be too large or costly.
    • Sampling is the process of selecting a small group of individuals from a population.

    Reasons for Sampling

    • Saves time and resources: Studying a sample is more efficient than the entire population.
    • Improves accuracy: A well-chosen sample can accurately reflect the characteristics of the population.

    Important Terms

    • Population: An entire group of individuals with shared characteristics.
    • Sample: A smaller subgroup selected from the population to represent the entire group.
    • Sampling: The process of selecting a sample from a population.
    • Sample Bias: When a sample is not representative of the population.

    Steps in the Sampling Process

    • Identify the Target Population: Clearly define the group being studied.
    • Identify the Accessible Population: Determine the portion of the target population that can be reached.
    • Determine the Sample Size: Calculate the number of individuals needed for the study.
    • Select a Sampling Technique: Choose the method to select the sample.
    • Implement the Plan: Execute the sampling process.

    Sampling Methods

    Non-Probability Sampling

    • Convenience Sampling: Choosing individuals who are easily accessible.
    • Purposive Sampling: Selecting individuals based on specific characteristics relevant to the research.
    • Quota Sampling: Selecting a sample based on predefined characteristics of the population.
    • Snowball Sampling: Participants recruit other participants, useful for hard-to-reach populations.

    Probability Sampling

    • Simple Random Sampling: Every individual has an equal chance of being selected.
    • Stratified Sampling: Dividing the population into subgroups (strata) and randomly selecting individuals from each.
    • Systematic Sampling: Selecting every nth individual from a list.

    Sampling Error

    • The difference between the characteristics of a sample and the characteristics of the population it represents.
    • Arises due to the natural variability in the population and the fact that samples are smaller than the entire population.
    • Causes:
      • Sample size: smaller samples lead to greater error
      • Population heterogeneity: diverse populations lead to greater error

    Sample Size

    • The number of observations or data points included in a sample.
    • Factors influencing sample size
      • Population size
      • Margin of error
      • Confidence level
      • Variability

    Identifying Sampling Methods

    • Scenario 1: Stratified Sampling

    • Scenario 2: Convenience Sampling

    • Scenario 3: Purposive Sampling

    • Scenario 4: Simple Random Sampling

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    Related Documents

    Sampling Methods: Lecture 3 PDF

    Description

    This quiz covers the essential concepts of sampling in pharmacy research, including definitions of key terms such as population, sample, and sampling bias. Learn the reasons for sampling and the steps involved in the sampling process to enhance the accuracy and efficiency of research. Test your understanding of how a well-chosen sample can reflect the characteristics of a larger population.

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